Being among the most popular and efficient classification and regression methods
currently available, implementations of support vector machines exist in almost every
popular programming language. Currently four R packages contain SVM related software.
The purpose of this paper is to present and compare these implementations. (authors' abstract)
Identifer | oai:union.ndltd.org:VIENNA/oai:epub.wu-wien.ac.at:3986 |
Date | 04 1900 |
Creators | Hornik, Kurt, Meyer, David, Karatzoglou, Alexandros |
Publisher | American Statistical Association |
Source Sets | Wirtschaftsuniversität Wien |
Language | English |
Detected Language | English |
Type | Article, PeerReviewed |
Format | application/pdf |
Relation | http://www.jstatsoft.org/v15/i09/paper, http://epub.wu.ac.at/3986/ |
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